Cynet systems Inc
Overview
Pay Range: $45hr - $50hr Responsibilities
Analyze the current multimodal indexing pipeline to identify performance bottlenecks (latency, scalability, and throughput). Design and implement GenAI-driven optimizations for data ingestion, preprocessing, embedding generation, vector storage, and retrieval and indexing. Improve embedding quality and efficiency for diverse modalities (text, image, audio, video). Integrate and optimize vector databases / retrieval systems (e.g., Weaviate, FAISS, Milvus). Build scalable microservices/APIs for multimodal embedding and retrieval workflows. Collaborate with data scientists, ML engineers, and platform teams to streamline ETL and orchestration pipelines. Develop monitoring, logging, and alerting for indexing pipeline health and performance. Stay updated with emerging GenAI frameworks (OpenAI, Hugging Face, LangChain, LlamaIndex, etc.) and apply them to pipeline improvements.
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Pay Range: $45hr - $50hr Responsibilities
Analyze the current multimodal indexing pipeline to identify performance bottlenecks (latency, scalability, and throughput). Design and implement GenAI-driven optimizations for data ingestion, preprocessing, embedding generation, vector storage, and retrieval and indexing. Improve embedding quality and efficiency for diverse modalities (text, image, audio, video). Integrate and optimize vector databases / retrieval systems (e.g., Weaviate, FAISS, Milvus). Build scalable microservices/APIs for multimodal embedding and retrieval workflows. Collaborate with data scientists, ML engineers, and platform teams to streamline ETL and orchestration pipelines. Develop monitoring, logging, and alerting for indexing pipeline health and performance. Stay updated with emerging GenAI frameworks (OpenAI, Hugging Face, LangChain, LlamaIndex, etc.) and apply them to pipeline improvements.
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